Vice President

Deutsche Bank•New York, NY

2d•$190,000 - $222,501•Onsite

About The Position

DB USA Core Corporation seeks a Vice President in New York, NY to develop and maintain methodologies according to defined model development principles and industry standard practices, including establishing processes and infrastructure to perform stress testing. Requires a Master’s degree in Finance, Economics, or related field or equivalent and four (4) years of experience working on regulatory stress testing models throughout the forecasting model life cycle; working with models for specific use cases using econometric methods and statistical programming languages (R and Python); writing methodology or validation documents; conducting model performance monitoring by establishing key performance indicators and quantitative thresholds; performing root-cause analysis of observed issues and breaches using quantitative, statistical, and qualitative methods; assessing model findings using quantitative and qualitative methods, including data analysis and statistical techniques; validating or developing model prototypes and performing implementation and testing; evaluating model input data quality including assessing data lineage; using econometric methods to develop forecasting models for revenue and balance sheet forecasts; coding in R and Python for building forecasting and econometric models; presenting model development and validation results to stakeholders through technical reports and data-driven presentations; developing models by applying validation and model development industry standards, including CCAR models and ensuring alignment with Federal Reserve SR 11-7.

Requirements

Master’s degree in Finance, Economics, or related field or equivalent
Four (4) years of experience working on regulatory stress testing models throughout the forecasting model life cycle
Experience working with models for specific use cases using econometric methods and statistical programming languages (R and Python)
Experience writing methodology or validation documents
Experience conducting model performance monitoring by establishing key performance indicators and quantitative thresholds
Experience performing root-cause analysis of observed issues and breaches using quantitative, statistical, and qualitative methods
Experience assessing model findings using quantitative and qualitative methods, including data analysis and statistical techniques
Experience validating or developing model prototypes and performing implementation and testing
Experience evaluating model input data quality including assessing data lineage
Experience using econometric methods to develop forecasting models for revenue and balance sheet forecasts
Experience coding in R and Python for building forecasting and econometric models
Experience presenting model development and validation results to stakeholders through technical reports and data-driven presentations
Experience developing models by applying validation and model development industry standards, including CCAR models and ensuring alignment with Federal Reserve SR 11-7.

Responsibilities

Develop and maintain methodologies according to defined model development principles and industry standard practices.
Establish processes and infrastructure to perform stress testing.
Work with models for specific use cases using econometric methods and statistical programming languages (R and Python).
Write methodology or validation documents.
Conduct model performance monitoring by establishing key performance indicators and quantitative thresholds.
Perform root-cause analysis of observed issues and breaches using quantitative, statistical, and qualitative methods.
Assess model findings using quantitative and qualitative methods, including data analysis and statistical techniques.
Validate or develop model prototypes and perform implementation and testing.
Evaluate model input data quality including assessing data lineage.
Use econometric methods to develop forecasting models for revenue and balance sheet forecasts.
Code in R and Python for building forecasting and econometric models.
Present model development and validation results to stakeholders through technical reports and data-driven presentations.
Develop models by applying validation and model development industry standards, including CCAR models and ensuring alignment with Federal Reserve SR 11-7.